Abstract
Software testing is a key component in the software development life cycle. This paper presents a modification to the Constructive Cost Model (COCOMO) technique by using particle swarm optimization. The resultant technique significantly increases the accuracy of the COCOMO approach and also incorporates the much needed flexibility related to the software and the development team. © 2012 Springer-Verlag GmbH Berlin Heidelberg.
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Bhattacharya, P., Srivastava, P. R., & Prasad, B. (2012). Software test effort estimation using particle swarm optimization. In Advances in Intelligent and Soft Computing (Vol. 132 AISC, pp. 827–835). Springer Verlag. https://doi.org/10.1007/978-3-642-27443-5_95
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